The Center on Causal Data Science for Child Maltreatment Prevention (the CHAMP Center)
儿童虐待预防因果数据科学中心(CHAMP 中心)
基本信息
- 批准号:10672629
- 负责人:
- 金额:$ 153.93万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-05 至 2028-08-31
- 项目状态:未结题
- 来源:
- 关键词:AccountingAchievementAddressAdolescentAdolescent PsychiatryCaregiversCategoriesChildChild Abuse and NeglectChild HealthChild PsychiatryCollaborationsCommunity Health NetworksComplexCountyData ScienceData ScientistData SetEthicsEtiologyExclusionExposure toFamilyFamily health statusInterventionKnowledgeMental DepressionMethodsMinnesotaNeighborhood Health CenterOutcomePoliciesPost-Traumatic Stress DisordersPovertyPreventionPrimary CareProbabilityProcessProductivityPublic Health InformaticsPublishingResearchResearch PersonnelResourcesRiskRisk FactorsRisk ReductionRisk TakingSelf Destructive BehaviorSeriesSexual abuseSubstance abuse problemSystemTechnologyTestingTranslatingTranslationsUS StateUniversitiesViolenceWorkcausal modelchild protectionchild servicesdesigndissemination scienceeffective interventionfunctional disabilityimplementation sciencemaltreated childrenmaltreatmentmarginalized populationmedical schoolsneglectoutreachpersonalized interventionphysical abusepost-traumatic stresspredictive modelingpreventpreventive interventionprogramspsychobiologicschool based health centersupport toolstooltraumatic stress
项目摘要
SUMMARY/ABSTRACT – OVERALL
In 2019, US state and county child protection investigators determined that 656,000 children were exposed to
maltreatment by their caregivers. This number likely underestimates the true number of maltreated children by
a considerable margin. Maltreatment exposure can disrupt psychobiological systems essential for a child’s
health and adaptive functioning and result in debilitating outcomes such as post-traumatic stress, depression,
self-destructive and violent behavior, risk-taking, and substance abuse. Yet only a small proportion of those
children at risk have benefited from decades of research to acquire the scientific knowledge to prevent
maltreatment exposures and their significant consequences. This proposal seeks to enable larger-scale
preventative results through an integrated scientific program designed to address the central barrier limiting the
scale of results: available preventative interventions are insufficiently guided by robust scientific
knowledge on the complex etiologies of maltreatment exposures and their consequential outcomes.
The Center on Causal Data Science for Child and Adolescent Maltreatment Prevention (CHAMP Center) is
proposed to enable the achievement of larger-scale results by: 1) applying state-of-the-art causal data science
methods to several large, relevant, existing data sets to determine the complex etiologies for several
categories of maltreatment exposures (e.g., sexual abuse, physical abuse, neglect) and maltreatment-related
outcomes (e.g., post-traumatic stress disorder, depression, self-destructive behavior, substance abuse,
functional impairments); 2) translating this knowledge into specific decision support tools for practitioners in
the child services system to personalize interventions that precisely target etiological factors; and 3) conducting
a proof-of-concept field trial on this form of decision support. Through the integrated work of its two projects
and three cores, the CHAMP Center will establish processes to discover and translate scientific knowledge on
complex etiologies of maltreatment and its consequences and disseminate knowledge and tools for large-scale
prevention of maltreatment exposures and their devastating consequences in children at risk.
摘要/摘要 - 总体
2019年,美国州和县儿童保护调查人员确定有656,000名儿童接触
他们的照顾者虐待。这个数字可能低估了虐待儿童的真实人数
一个相当大的余量。虐待暴露会破坏儿童必不可少的心理生物学系统
健康和适应性功能,并导致衰弱的结果,例如创伤后压力,抑郁,
自我毁灭和暴力行为,冒险和滥用毒品。但是只有一小部分
处于危险的儿童受益于数十年的研究,以获取科学知识以防止
虐待暴露及其重大后果。该建议旨在实现大规模
通过综合科学计划的预防结果,旨在解决限制的中心障碍
结果规模:可用的预防性干预措施不足以支持强大的科学
关于虐待暴露及其结果结果的复杂病因的知识。
儿童和青少年虐待预防(Champ Center)的因果数据科学中心是
提出的旨在实现大规模结果:1)应用最先进的因果数据科学
几个大型,相关的现有数据集的方法,以确定几种复杂的病因
虐待类别的类别(例如,性虐待,身体虐待,忽视)和与虐待有关的类别
结果(例如,创伤后应激障碍,抑郁症,自我毁灭行为,滥用药物,
功能障碍); 2)将此知识转化为特定的决策支持工具
儿童服务系统,以个性化精确针对病因的干预措施; 3)进行
对这种决策支持的概念验证现场试验。通过其两个项目的综合作品
和三个核心,冠军中心将建立过程以发现和翻译科学知识
虐待及其后果的复杂病因,并传播大规模的知识和工具
预防虐待暴露及其对处于危险的儿童的毁灭性后果。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('GLENN N SAXE', 18)}}的其他基金
Computational Models for the Prediction and Prevention of Child Traumatic Stress - Resubmission - 1
预测和预防儿童创伤应激的计算模型 - 重新提交 - 1
- 批准号:
10206005 - 财政年份:2019
- 资助金额:
$ 153.93万 - 项目类别:
Computational Models for the Prediction and Prevention of Child Traumatic Stress - Resubmission - 1
预测和预防儿童创伤应激的计算模型 - 重新提交 - 1
- 批准号:
10021724 - 财政年份:2019
- 资助金额:
$ 153.93万 - 项目类别:
Computational Models for the Prediction and Prevention of Child Traumatic Stress - Resubmission - 1
预测和预防儿童创伤应激的计算模型 - 重新提交 - 1
- 批准号:
10455072 - 财政年份:2019
- 资助金额:
$ 153.93万 - 项目类别:
Network Science Methodology for Assessing PTSD Risk
评估 PTSD 风险的网络科学方法
- 批准号:
7893201 - 财政年份:2009
- 资助金额:
$ 153.93万 - 项目类别:
Network Science Methodology for Assessing PTSD Risk
评估 PTSD 风险的网络科学方法
- 批准号:
8209319 - 财政年份:2009
- 资助金额:
$ 153.93万 - 项目类别:
Network Science Methodology for Assessing PTSD Risk
评估 PTSD 风险的网络科学方法
- 批准号:
7680858 - 财政年份:2009
- 资助金额:
$ 153.93万 - 项目类别:
PTSD in Children with Injuries: A Longitudinal Study
受伤儿童的创伤后应激障碍:一项纵向研究
- 批准号:
7171862 - 财政年份:2003
- 资助金额:
$ 153.93万 - 项目类别:
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